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Detection Engineer Jobs in Ontario (NOW HIRING)

AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Design and develop AI/ML models for spacecraft autonomy, anomaly detection, and predictive ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

Embedded Engineer

Toronto, ON · Hybrid

$130K - $150K/yr

Vision-based grid detection for automated sample positioning * Ongoing sensor fusion, diagnostics, and system reliability improvements What We're Looking For Must-haves: * Proficiency in C++ and ...

Sr. IT Security Analyst

Woodbridge, ON · On-site

CA$115K - CA$140K/yr

Recommend detection engineering improvements to SOC tooling and analytics Metrics, Risk & Compliance * Define andmaintainsecurity operations KPIs and KRIs (incident trends, MTTR, vulnerability aging ...

Design structures that support ML features such as lead scoring, intent detection, advisor similarity, anomaly detection, and natural-language reporting. * Work with the Full Stack Developer to ...

Drift Detection Soft Skills * Exceptional Communication * Stakeholder Engagement Industry Keywords * AI Roadmaps * Operational Efficiency * Resource Optimization * High-Impact Projects * Research and ...

Showing results 21-40

Detection Engineer information

See Ontario salary details

$11K

$156.4K

$192.5K

How much do detection engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for detection engineer in Ontario is $156,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $172,500.00 per year, depending on experience, location, and employer.

What does a detection engineer do?

A Detection Engineer is responsible for identifying, analyzing, and mitigating security threats by developing detection rules, monitoring security systems, and responding to potential incidents. They work with security tools like SIEMs, EDRs, and IDS/IPS to detect malicious activity and improve threat detection capabilities. Additionally, they collaborate with security teams to enhance defensive strategies and automate detection processes.

What kind of projects or tasks does a detection engineer typically work on?

As a Detection Engineer, you can expect to work on designing, implementing, and refining security detection strategies to identify potential threats and vulnerabilities in company systems. Daily responsibilities often include developing detection logic, analyzing security alerts, conducting threat hunting exercises, and collaborating with incident response teams. You may also work closely with other cybersecurity professionals to evaluate the effectiveness of existing security measures and recommend improvements. This dynamic environment offers opportunities to work on complex technical challenges while directly contributing to the organization’s overall security posture.

What are the key skills and qualifications needed to thrive as a detection engineer?

To thrive as a Detection Engineer, you need strong analytical skills, a solid understanding of cybersecurity principles, and experience with threat detection and response, often supported by a degree in computer science or a related field. Proficiency with security information and event management (SIEM) tools, intrusion detection/prevention systems, and certifications like GIAC or CISSP are commonly required. Attention to detail, proactive problem-solving abilities, and effective communication enhance effectiveness in this role. These skills are crucial as Detection Engineers must accurately identify security threats, collaborate with teams, and minimize potential risks to the organization.

What are the most commonly searched types of Detection Engineer jobs in Ontario? The most popular types of Detection Engineer jobs in Ontario are:
What are popular job titles related to Detection Engineer jobs in Ontario? For Detection Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Detection Engineer jobs in Ontario look for? The top searched job categories for Detection Engineer jobs in Ontario are:
Infographic showing various Detection Engineer job openings in Ontario as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $156,399 per year, or $75.2 per hour.

AI Engineer (Global Security)

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Re-posted 3 days ago


Job description

Job Description

What is the opportunity?

As an AI Engineer (Global Security), you will contribute to building RBC's next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle to create self-directed, context-aware AI agents and workflows that operate with minimal human intervention, leveraging your expertise in large language models (LLMs), generative AI, machine learning, and data pipelines. You'll work to deliver highly scalable, production-grade AI solutions that automate complex controls, accelerate regulatory readiness, and set new standards for operational excellence and security.

What will you do?

  • Develop and deploy enterprise AI solutions using Python to automate threat detection and remediation processes at scale
  • Evaluate and recommend technical approaches (multi-agent, single-agent, rule-based) based on threat complexity and regulatory requirements, bringing strategic thinking to architecture decisions
  • Contribute to the development of LLMs and RAG systems including output quality benchmarking and model performance monitoring (OpenAI, Cohere, Claude via RBC's Claude shop), vector search (pgvector, Milvus, Pinecone), and context engineering pipelines to ensure AI threat detection is accurate, secure, and aligned with data
  • Build and maintain data pipelines and context layers (Spark, Airflow, SQL/NoSQL) to deliver high-quality intelligence for AI-driven threat detection and automation
  • Integrate AI solutions with enterprise systems and platforms (Docker, GitHub Actions) and production monitoring tools
  • Follow and apply best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments (NIST 800-53, SOX)
  • Collaborate with Global Security, Data Science, and cross-functional teams to refine threat detection requirements, share knowledge, and maintain high-quality technical documentation

What do you need to succeed?

Must-have

  • Bachelor's degree (or equivalent) in Computer Science, Software Engineering, or a related field
  • 2-5 years of software engineering experience with Python and at least one of Java, TypeScript, or Go
  • 2+ years of hands-on experience with machine learning, data science, or AI (demonstrated ability to learn and apply generative AI approaches)
  • Hands-on experience deploying LLMs, RAG systems, and agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen), including vector database configuration and context engineering for AI workflows
  • Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD pipelines (Docker, GitHub Actions, Jenkins)

Nice-to-have

  • Experience with threat detection, security analytics, or threat monitoring systems
  • Strong mathematical foundations in probability, statistics, and optimization for model design, along with familiarity with distributed ML frameworks (Ray, SageMaker) and real-time pipelines (Kafka, Kinesis)
  • Awareness of regulatory frameworks and IT controls (NIST 800-53, ISO 27001, SOX)

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business

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Job Skills

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-05

Application Deadline:

2026-08-14

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME